Research on Control Strategy of SCR Denitration based on Advanced Control Technology
- DOI
- 10.2991/emcs-17.2017.201How to use a DOI?
- Keywords
- SCR; Denitration; Optimize; Neural network; Ammonia escape rate
- Abstract
The principle and technological process of selective catalytic reduction (SCR) were introduced. At present, the domestic SCR denitration closed-loop control strategy is usually designed as a fixed molar ratio control mode. However, this control system only takes into account the efficiency of denitration, and does not consider the change of the concentration of NOx, when the inlet NOx concentration is relatively low, it is easy to make the system over nitrogen and increase the operating costs. This paper puts forward the advanced control technology of SCR denitration control in modern thermal power unit based on neural network learning technology and adaptive control technology, optimizing the control of ammonia flow rate and outlet NOx concentration of SCR. On the basis of taking full account of the denitration efficiency and the ability of denitration of the catalyst, the excessive nitrogen removal caused by the fixed molar ratio control is avoided, and the outlet NOx concentration can be controlled within a reasonable range. And control the ammonia escape rate close to SCR minimum amount of inherent, thereby reducing the consumption of electricity and maintenance plant, improve power generation efficiency.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Ma AU - Wei Deng AU - Xichang Han AU - Lin Sun PY - 2017/03 DA - 2017/03 TI - Research on Control Strategy of SCR Denitration based on Advanced Control Technology BT - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) PB - Atlantis Press SP - 1038 EP - 1042 SN - 2352-538X UR - https://doi.org/10.2991/emcs-17.2017.201 DO - 10.2991/emcs-17.2017.201 ID - Ma2017/03 ER -